THE MACHINE ROOM
SECTION 04
ISSUE 001
Sparse Compute Gets Physical
Projection: Meta routes tokens through mixture-of-experts models; NVIDIA is building rack-scale all-to-all fabrics with rising bandwidth. Sparse activation therefore has physical consequences for where experts, memory, and communication live. The hypothesis is confirmed when co-designed hardware measurably improves expert utilization or reduces routing overhead on real MoE workloads.
Why this idea is here
What the evidence establishes.
Meta documents native multimodality, mixture-of-experts routing, teacher distillation, and a claimed ten-million-token context model; NVIDIA documents rack-scale all-to-all GPU fabrics, rising bandwidth, resilience features, and NVLink Fusion for hybrid systems. These are source-backed premises for this inference; they do not by themselves prove broad adoption or the eventual outcome.
Source ledger
Read the sources.
- S01Current Llama models and resources
official live model documentation / dated Live source · verified 2026-07-10 / retrieved 2026-07-10
- S02NVIDIA NVLink and NVLink Switch
official product documentation / published 2026-07-09 / retrieved 2026-07-09